Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems

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Martin V. Butz, Olivier Sigaud, Pierre Gérard
Springer Science & Business Media, Jul 9, 2003 - Computers - 303 pages
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The matter of anticipation is, as the editors of this volume state in their preface, a rathernewtopic. Giventhealmostconstantusewemakeofanticipationin our dailyliving,itseemsoddthatthebulk ofpsychologistshavepersistentlyignored it. However, the reason for this disregard is not di?cult to ?nd. The dogma of the scienti?c revolution had from the outset laid down the principle that future conditions and events could not in?uence the present. The law of causation clearly demands that causes should precedetheir e?ects and, therefore,concepts such as purpose, anticipation, and even intention were taboo because they were thought to involve things and happenings that lay ahead in time. An analysis of the three concepts – purpose, anticipation, and intention – shows that they are rooted in the past and transcend the present only insofar as they contain mental representations of things to be striven for or avoided. Purposiveorgoal-directedactioncouldbe circumscribedasactioncarriedoutto attain something desirable. In each case, the particular action is chosenbecause, in the past, it has more or less reliably led to the desired end. The only way the future is involved in this procedure is through the belief that the experiential worldmanifestssomeregularityandallowsthelivingorganismtoanticipatethat what has workedin the past will continue to work in the future. This belief does not have to be conscious. Skinner's rats continued to turn left in a maze where theleftarmhadbeenbaited. Theydidsobecausethemeatpelletthey foundthe ?rst time had “reinforced” them to repeat the turn to the left.
 

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Contents

Introduction
1
Systems Evaluations and Applications
4
Not Everything We Know We Learned
23
From Cognitive Psychology to Cognitive Systems
44
Towards a Four Factor Theory of Anticipatory Learning
66
Formulations Distinctions and Characteristics
86
Mathematical Foundations of Discrete and Functional Systems with Strong
110
Building on Lewin
133
Revisiting a Robot
167
Forward and Bidirectional Planning Based on Reinforcement Learning
179
Sensory Anticipation for Autonomous Selection of Robot Landmarks
201
Representing RobotEnvironment Interactions by Dynamical Features
222
Anticipatory Guidance of Plot
243
Exploring the Value of Prediction in an Artificial Stock Market
262
Generalized State Values in an Anticipatory Learning Classifier System
282
Copyright

A Framework for Preventive State Anticipation
151

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